package com.heima.wemedia.service.impl;

import com.alibaba.fastjson.JSON;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.heima.apis.article.IArticleClient;
import com.heima.common.aliyun.GreenImageScan;
import com.heima.common.aliyun.GreenTextScan;
import com.heima.common.tess4j.Tess4jClient;
import com.heima.file.service.FileStorageService;
import com.heima.model.article.dtos.ArticleDto;
import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.wemedia.pojos.WmChannel;
import com.heima.model.wemedia.pojos.WmNews;
import com.heima.model.wemedia.pojos.WmSensitive;
import com.heima.model.wemedia.pojos.WmUser;
import com.heima.utils.common.SensitiveWordUtil;
import com.heima.wemedia.mapper.WmChannelMapper;
import com.heima.wemedia.mapper.WmNewsMapper;
import com.heima.wemedia.mapper.WmSensitiveMapper;
import com.heima.wemedia.mapper.WmUserMapper;
import com.heima.wemedia.service.WmNewsAutoScanService;
import net.sourceforge.tess4j.TesseractException;
import org.apache.commons.lang.StringUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;

import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.util.*;
import java.util.stream.Collectors;

@Service
@Transactional
public class WmNewsAutoScanServiceImpl implements WmNewsAutoScanService {

    @Autowired
    private WmNewsMapper wmNewsMapper;

    @Autowired
    private GreenTextScan greenTextScan;

    @Autowired
    private FileStorageService fileStorageService;

    @Autowired
    private GreenImageScan greenImageScan;

    @Autowired
    private WmChannelMapper wmChannelMapper;

    @Autowired
    private WmUserMapper wmUserMapper;

    @Autowired
    private IArticleClient iArticleClient;

    @Autowired
    private WmSensitiveMapper wmSensitiveMapper;

    @Autowired
    private Tess4jClient tess4jClient;

    /**
     * 自媒体文章审核
     * @param id  自媒体文章id
     */
    @Override
    @Async  //标明当前方法是一个异步方法
    public void autoScanWmNews(Integer id) {
        //查询自媒体文章
        WmNews wmNews = wmNewsMapper.selectById(id);
        if (wmNews==null){
            throw new RuntimeException("文章不存在!");
        }
        if (wmNews.getStatus().equals(WmNews.Status.SUBMIT.getCode())){
            //从自媒体文章的内容中提取文本和图片
            Map<String,Object> textAndImages=handleTextAndImages(wmNews);


            //自管理的敏感词过滤
            boolean isSensitive = handleSensitiveScan((String) textAndImages.get("content"), wmNews);
            if(!isSensitive) return;


            //审核文本内容 阿里云接口
            boolean isTextScan=handleTextScan((String)textAndImages.get("content"),wmNews);
            //if (!isTextScan)return;

            //审核图片 阿里云接口
            boolean isImageScan=handleImageScan((List<String>)textAndImages.get("images"),wmNews);
            //if (!isImageScan)return;

            //审核成功 保存app端相关的文章数据
            ResponseResult responseResult=saveAppArticle(wmNews);
            if (!responseResult.getCode().equals(200)){
                throw new RuntimeException("文章审核,保存app端数据失败!");
            }
            //回填article_id
            wmNews.setArticleId((Long) responseResult.getData());
            updateWmNews(wmNews,(short) 9,"审核成功!");
        }

    }

    /**
     * 自管理的敏感词审核
     * @param content
     * @param wmNews
     * @return
     */
    private boolean handleSensitiveScan(String content, WmNews wmNews) {
        boolean flag=true;
        //获取所有的敏感词
        List<WmSensitive> wmSensitives = wmSensitiveMapper.selectList(Wrappers.<WmSensitive>lambdaQuery().
                select(WmSensitive::getSensitives));
        List<String> sensitiveList = wmSensitives.stream().map(WmSensitive::getSensitives).collect(Collectors.toList());
        //初始化敏感词库
        SensitiveWordUtil.initMap(sensitiveList);
        //查看文章中是否包含了敏感词
        Map<String, Integer> map = SensitiveWordUtil.matchWords(content);
        if (map.size()>0){
            updateWmNews(wmNews,(short) 2,"文章中存在违规内容"+map);
            flag=false;
        }
        return flag;
    }

    /**
     * 保存app端相关的文章数据
     * @param wmNews
     * @return
     */
    private ResponseResult saveAppArticle(WmNews wmNews) {
        ArticleDto articleDto=new ArticleDto();
        //属性拷贝
        BeanUtils.copyProperties(wmNews,articleDto);
        //文章布局
        articleDto.setLayout(wmNews.getType());
        //频道
        WmChannel wmChannel = wmChannelMapper.selectById(wmNews.getChannelId());
        if (wmChannel!=null){
            articleDto.setChannelName(wmChannel.getName());
        }
        //作者
        articleDto.setAuthorId(wmNews.getUserId().longValue());
        WmUser wmUser = wmUserMapper.selectById(wmNews.getUserId());
        if(wmUser!=null){
            articleDto.setAuthorName(wmUser.getName());
        }
        //设置文章id
        if (wmNews.getArticleId()!=null){
            articleDto.setId(wmNews.getArticleId());
        }
        articleDto.setCreatedTime(new Date());

        ResponseResult responseResult = iArticleClient.saveArticle(articleDto);
        return responseResult;
    }

    /**
     * 审核图片 阿里云接口
     * @param images
     * @param wmNews
     * @return
     */
    private boolean handleImageScan(List<String> images, WmNews wmNews) {
        boolean flag=true;
        if (images==null || images.size()==0){
            return flag;
        }
        //下载图片 minio
        //图片去重
        images = images.stream().distinct().collect(Collectors.toList());

        List<byte[]> imageList=new ArrayList<>();
        try {
            for (String image : images) {
                byte[] bytes = fileStorageService.downLoadFile(image);

                //图片识别文字审核 ----
                //从byte[]转换为butteredImage
                ByteArrayInputStream in=new ByteArrayInputStream(bytes);
                BufferedImage imageFile= ImageIO.read(in);
                //识别图片文字
                String result = tess4jClient.doOCR(imageFile);
                //审核是否包含 自管理的敏感词
                boolean isSensitive = handleSensitiveScan(result, wmNews);
                if (!isSensitive){
                    return isSensitive;
                }

                imageList.add(bytes);
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
        //审核图片
        try {
            Map map = greenImageScan.imageScan(imageList);
            if (map!=null){
                //审核失败
                if (map.get("suggestion").equals("block")){
                    flag=false;
                    updateWmNews(wmNews,(short) 2,"文章中存在违规内容");
                }
                //不确定信息 需要人工审核
                if (map.get("suggestion").equals("review")){
                    flag=false;
                    updateWmNews(wmNews,(short) 3,"文章中存在违规内容");
                }
            }
        } catch (Exception e) {
            flag=false;
            e.printStackTrace();
        }
        return flag;
    }

    /**
     * 审核纯文本内容
     * @param content
     * @param wmNews
     * @return
     */
    private boolean handleTextScan(String content, WmNews wmNews) {
        boolean flag=true;
        if ((wmNews.getTitle()+"-"+content).length()==0){
            return flag;
        }
        try {
            Map map = greenTextScan.greeTextScan((wmNews.getTitle() + "-" + content));
            if (map!=null){
                //审核失败
                if (map.get("suggestion").equals("block")){
                    flag=false;
                    //修改文章内容
                    updateWmNews(wmNews,(short)2,"当前文章存在违规内容");
                }
                //不确定信息,需要人工审核
                if (map.get("suggestion").equals("review")){
                    flag=false;
                    //修改文章内容
                    updateWmNews(wmNews,(short)3,"当前文章存在违规内容");
                }
            }
        } catch (Exception e) {
            flag=false;
            e.printStackTrace();
        }
        return flag;
    }

    /**
     * 修改文章内容
     * @param wmNews
     * @param status
     * @param reason
     */
    private void updateWmNews(WmNews wmNews, short status, String reason){
        wmNews.setStatus(status);
        wmNews.setReason(reason);
        wmNewsMapper.updateById(wmNews);
    }


    /**
     * 从自媒体文章的内容中提取文本和图片
     * 提取文章封面的图片
     * @param wmNews
     * @return
     */
    private Map<String, Object> handleTextAndImages(WmNews wmNews) {
        //存储纯文本内容
        StringBuilder stringBuilder=new StringBuilder();
        // 图片内容
        List<String> images=new ArrayList<>();

        //从自媒体文章的内容中提取文本和图片
        if(StringUtils.isNotBlank(wmNews.getContent())){
            List<Map> maps = JSON.parseArray(wmNews.getContent(), Map.class);
            for (Map map : maps) {
                if (map.get("type").equals("text")){
                    stringBuilder.append(map.get("value"));
                }
                if (map.get("type").equals("image")){
                    images.add((String) map.get("value"));
                }
            }
        }
        //提取文章封面图片
        if (StringUtils.isNotBlank(wmNews.getImages())){
            //将字符串按指定的内容切割成数组
            String[] split = wmNews.getImages().split(",");
            images.addAll(Arrays.asList(split));
        }
        Map<String,Object> resultMap=new HashMap<>();
        resultMap.put("content",stringBuilder.toString());
        resultMap.put("images",images);
        return resultMap;
    }
}
